О городах и данных

Recently the most significant open buildings dataset was released by Technical University of Munich— “#GlobalBuildingAtlas”. It outperforms all other datasets (Google Open buildings, 3D-#GlobBFP) in the number of buildings (2.75 billion) and, in our estimation, also outperforms them in data quality. As we at GeoAlert have been working on the benchmarks for our #Mapflow buildings model we used the opportunity to test the open data and contribute our validation to the work of the community. We focused this testing on the China urban area as there is a lack of validation data available for China. In addition, we have published all the benchmarks, notebooks, and the QGIS project in the repository for easy visualization and reproduction. It's been a while since we posted any research works on our blog. Read more. 😀

#Tashkent city (where we opened a new office recently) has a very interesting patterns. Urban analysts are welcome to try the dataset generated with the use of #Mapflow AI building extraction. Look from above and get deeper.